﻿* Encoding: UTF-8.


***Descriptive Statistics: p. 23 & table 1; Note: SPSS does not not allow to calculate McDonaldsOmega. That was done using a complex R-Algorithm. As you can see, Cronbach's alpha estimates
do not differ from these. For the sake of transparency, the syntax for creating the WoM scores is delivered separately, due to its size. ***


RECODE
  NEO_1  NEO_16  NEO_31  NEO_46  NEO_12  NEO_27  NEO_42  NEO_57  NEO_3  NEO_8  NEO_18  NEO_23  NEO_33  NEO_38 NEO_48
  NEO_9 NEO_14 NEO_24 NEO_29 NEO_39
  NEO_44 NEO_54 NEO_59 NEO_15 NEO_30 NEO_45 NEO_55  (5=1)  (4=2)  (3=3)  (2=4)  (1=5) INTO 
  NEO_1r  NEO_16r  NEO_31r  NEO_46r  NEO_12r  NEO_27r  NEO_42r  NEO_57r  
  NEO_3r  NEO_8r  NEO_18r  NEO_23r  NEO_33r  NEO_38r NEO_48r NEO_9r NEO_14r NEO_24r NEO_29r NEO_39r
  NEO_44r NEO_54r NEO_59r NEO_15r NEO_30r NEO_45r NEO_55r.
EXECUTE .

COMPUTE neu_NEO = MEAN(NEO_1r, NEO_6, NEO_11, NEO_16r, NEO_21, NEO_26, NEO_31r, NEO_36, NEO_41, NEO_46r, NEO_51, NEO_56).
COMPUTE ext_NEO = MEAN(NEO_2, NEO_7, NEO_12r, NEO_17, NEO_22, NEO_27r, NEO_32, NEO_37, NEO_42r, NEO_47, NEO_52, NEO_57r).
COMPUTE ofh_NEO = MEAN(NEO_3r, NEO_8r, NEO_13, NEO_18r, NEO_23r, NEO_28, NEO_33r, NEO_38r, NEO_43, NEO_48r, NEO_53, NEO_58).
COMPUTE ver_NEO = MEAN(NEO_4, NEO_9r, NEO_14r, NEO_19, NEO_24r, NEO_29r, NEO_34, NEO_39r, NEO_44r, NEO_49, NEO_54r, NEO_59).
COMPUTE gew_NEO = MEAN(NEO_5, NEO_10, NEO_15r, NEO_20, NEO_25, NEO_30r, NEO_35, NEO_40, NEO_45r, NEO_50, NEO_55r, NEO_60).
EXECUTE.


RELIABILITY
  /VARIABLES=NEO_1r, NEO_6, NEO_11, NEO_16r, NEO_21, NEO_26, NEO_31r, NEO_36, NEO_41, NEO_46r, NEO_51, NEO_56
  /SCALE('neu') ALL
  /MODEL=ALPHA.

RELIABILITY
  /VARIABLES=NEO_2, NEO_7, NEO_12r, NEO_17, NEO_22, NEO_27r, NEO_32, NEO_37, NEO_42r, NEO_47, NEO_52, NEO_57r
  /SCALE('ext') ALL
  /MODEL=ALPHA.


RELIABILITY
  /VARIABLES=NEO_3r, NEO_8r, NEO_13, NEO_18r, NEO_23r, NEO_28, NEO_33r, NEO_38r, NEO_43, NEO_48r, NEO_53, NEO_58
  /SCALE('ofh') ALL
  /MODEL=ALPHA.


RELIABILITY
  /VARIABLES=NEO_4, NEO_9r, NEO_14r, NEO_19, NEO_24r, NEO_29r, NEO_34, NEO_39r, NEO_44r, NEO_49, NEO_54r, NEO_59r
  /SCALE('ver') ALL
  /MODEL=ALPHA.


RELIABILITY
  /VARIABLES=NEO_5, NEO_10, NEO_15r, NEO_20, NEO_25, NEO_30r, NEO_35, NEO_40, NEO_45r, NEO_50, NEO_55r, NEO_60
  /SCALE('gew') ALL
  /MODEL=ALPHA.


Recode RWA6_1 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_1_k. 
Recode RWA6_2 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_2_k. 
Recode RWA6_3 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_3_k. 
Recode RWA6_4 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_4_k. 
Recode RWA6_5 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_5_k. 
Recode RWA6_6 (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_6_k. 
Execute.

Recode RWA6_1_k (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_1_k_rek.
Recode RWA6_3_k (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_3_k_rek.
Recode RWA6_5_k (5=1) (4=2) (3=3) (2=4) (1=5) INTO RWA6_5_k_rek.
Execute.

Compute RWA_Submission = Sum (RWA6_1_k_rek, RWA6_2_k).
Execute.

Compute RWA_Aggression = Sum (RWA6_3_k_rek, RWA6_4_k).
Execute.

Compute RWA_Convent = Sum (RWA6_5_k_rek, RWA6_6_k). 
Execute.

Compute RWA_Total = Sum (RWA_Submission, RWA_Aggression, RWA_Convent).
Execute.

RELIABILITY
  /VARIABLES=RWA6_1_k_rek, RWA6_2_k, RWA6_3_k_rek, RWA6_4_k, RWA6_5_k_rek, RWA6_6_k
  /SCALE('RWA_Total') ALL
  /MODEL=ALPHA.


Recode SDO_9 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_9_rek.
Recode SDO_10 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_10_rek.
Recode SDO_11 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_11_rek.
Recode SDO_12 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_12_rek.
Recode SDO_13 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_13_rek.
Recode SDO_14 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_14_rek.
Recode SDO_15 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_15_rek.
Recode SDO_16 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) into SDO_16_rek.
Execute.

Compute SDO_Gesamt = Mean (SDO_1, SDO_2, SDO_3, SDO_4, SDO_5, SDO_6, SDO_7, SDO_8, SDO_9_rek, SDO_10_rek, SDO_11_rek, SDO_12_rek, SDO_13_rek,
SDO_14_rek, SDO_15_rek, SDO_16_rek).
Execute.

RELIABILITY
  /VARIABLES=SDO_1, SDO_2, SDO_3, SDO_4, SDO_5, SDO_6, SDO_7, SDO_8, SDO_9_rek, SDO_10_rek, SDO_11_rek, SDO_12_rek, SDO_13_rek,
SDO_14_rek, SDO_15_rek, SDO_16_rek
  /SCALE('SDO_Total') ALL
  /MODEL=ALPHA.


DESCRIPTIVES VARIABLES=ope_NEO con_NEO ext_NEO agr_NEO neu_NEO RWA_Total SDO_Total 
    PercentAcc_CDUCSU PercentAcc_SPD PercentAcc_FDP PercentAcc_Linke PercentAcc_Gruene PercentAcc_AFD 
    WoM_composite SP_general_r SP_social_r SP_economy_r SP_LR
  /STATISTICS=MEAN STDDEV MIN MAX.

***Voting Intention (p. 23)***

FREQUENCIES VARIABLES=Voting_Intention
  /ORDER=ANALYSIS.

***WoM - highest accordance (p. 23)***

FREQUENCIES VARIABLES=WoM_max
  /ORDER=ANALYSIS.

***Controlling for influences of gender, education and age (pp. 23-24)***

UNIANOVA SP_general_r BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.


UNIANOVA SP_social_r BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.


UNIANOVA SP_economy_r BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA SP_LR BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_CDUCSU BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_SPD BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_FDP BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_Gruene BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_Linke BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PercentAcc_AFD BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA WoM_composite BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA neu_NEO BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA ext_NEO BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA agr_NEO BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA ope_NEO BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA con_NEO BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA RWA_Total BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA SDO_Total BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

CORRELATIONS
  /VARIABLES= SP_general_r SP_social_r SP_economy_r SP_LR PercentAcc_CDUCSU 
    PercentAcc_SPD PercentAcc_FDP PercentAcc_Gruene PercentAcc_Linke PercentAcc_AFD WoM_composite 
    neu_NEO ext_NEO ope_NEO agr_NEO con_NEO RWA_Total SDO_Total with Age Education
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE.


***The association between political orientation and gaming behavior (p.24)***


UNIANOVA TG_Player1_rek BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA MeanTGsecond BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA PGG_1_x3_rek BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

UNIANOVA Lottery_SP BY Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE HOMOGENEITY
  /CRITERIA=ALPHA(.05)
  /DESIGN=Gender.

CORRELATIONS
  /VARIABLES= TG_Player1_rek MeanTGsecond PGG_1_x3_rek Lottery_SP with Age Education
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE.

*Table 3 & Figure 1*

CORRELATIONS
  /VARIABLES=PercentAcc_CDUCSU PercentAcc_SPD 
    PercentAcc_FDP PercentAcc_Gruene PercentAcc_Linke PercentAcc_AFD with TG_Player1_rek MeanTGsecond PGG_1_x3_rek Lottery_SP
  /PRINT=TWOTAIL NOSIG
  /MISSING=PAIRWISE.


PARTIAL CORR
  /VARIABLES=PercentAcc_CDUCSU TG_Player1_rek BY Age Gender
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.


PARTIAL CORR
  /VARIABLES=TG_Player1_rek PercentAcc_Gruene BY Age Gender Education
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.


PARTIAL CORR
  /VARIABLES=TG_Player1_rek PercentAcc_Linke BY Age Gender
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.

PARTIAL CORR
  /VARIABLES=TG_Player1_rek PercentAcc_AFD BY Age Gender
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.


PARTIAL CORR
  /VARIABLES=MeanTGsecond PercentAcc_Gruene BY Age Education
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.


PARTIAL CORR
  /VARIABLES=MeanTGsecond PercentAcc_Linke BY Age
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.


PARTIAL CORR
  /VARIABLES=PGG_1_x3_rek PercentAcc_FDP BY Age
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.

PARTIAL CORR
  /VARIABLES=PGG_1_x3_rek PercentAcc_Gruene BY Age Education
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.

PARTIAL CORR
  /VARIABLES=PGG_1_x3_rek PercentAcc_AFD BY Age Gender
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.

PARTIAL CORR
  /VARIABLES=Lottery_SP PercentAcc_SPD BY Age Gender
  /SIGNIFICANCE=TWOTAIL
  /MISSING=LISTWISE.

***Comparisons of correlations were done using fisher-z-transformation-based techniques, proposed by Steiger (1980).
    *We used a freeware solution, which can be found here: https://www.psychometrica.de/korrelation.html#dependent***
    
***Mediation analyses were done using the Process Macro for SPSS: The code for these analyses is delivered seperately, due to its size.***

***Multiple regressio analyses***  
  
REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT TG_Player1_rek
  /METHOD=ENTER Age Gender SP_LR.

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT TG_Player1_rek
  /METHOD=ENTER Age Gender WoM_composite.


REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT MeanTGsecond
  /METHOD=ENTER Age SP_LR.


REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT MeanTGsecond
  /METHOD=ENTER Age Gender WoM_composite.



REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT PGG_1_x3_rek
  /METHOD=ENTER SP_LR.

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT PGG_1_x3_rek
  /METHOD=ENTER Age Gender WoM_composite.


***Group comparisons (p. 26)***

UNIANOVA PGG_1_x3_rek BY Voting_Intention_RL
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Voting_Intention_RL.

UNIANOVA TG_Player1_rek BY Voting_Intention_RL WITH Age Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Age Gender Voting_Intention_RL.

UNIANOVA PGG_1_x3_rek BY Vote13_RL
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Vote13_RL.

UNIANOVA TG_Player1_rek BY Vote13_RL WITH Age Gender
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Age Gender Vote13_RL.

UNIANOVA Lottery_SP BY Voting_Intention_RL
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Voting_Intention_RL.

UNIANOVA Lottery_SP BY Vote13_RL
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Vote13_RL.

UNIANOVA MeanTGsecond BY Voting_Intention_RL WITH Age
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Age Voting_Intention_RL.

UNIANOVA MeanTGsecond BY Vote13_RL WITH Age
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /PRINT ETASQ DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=Age Vote13_RL.

***hierarchical regression analyses (pp. 26-27) and appendix A3 ***

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT PGG_1_x3_rek
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER SP_LR.



REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT PGG_1_x3_rek
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER WoM_composite.


REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT TG_Player1_rek
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER SP_LR.

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT TG_Player1_rek
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER WoM_composite.

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT MeanTGsecond
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER SP_LR.

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN 
  /DEPENDENT MeanTGsecond
  /METHOD=ENTER Age Gender Education
  /METHOD=ENTER neu_NEO ext_NEO ope_NEO agr_NEO con_NEO
  /METHOD=ENTER WoM_composite.
